HPV

Experimental Research

For my thesis, I studied HPV (human papillomavirus), a cancer-causing sexually transmitted virus.

Vaccine coverage (i.e. the number of people vaccinated) is low and there are currently no therapeutic options for those living with HPV. Therefore, I studied the virus from two perspectives: how to prevent infection, and how to clear infection. My mind works at the molecular scale, so that’s where I focused my research.


In this cross section of a single cell, HPV can be seen infiltrating a cellular compartment (light gray), and hijacking a ride into the cell interior (dark gray).


To prevent HPV, I identified a small molecule that could block cellular infection (1). I also genetically engineered cells that HPV can enter but cannot ultimately infect, enabling investigation of the HPV-trafficking pathway in greater detail (2).

To clear HPV, I reactivated immune cells to recognize HPV infection by using a compound that mimics a general feature of a virus (3). Understanding that HPV could deactivate key immune cells led to looking beyond the infected cells and into the microenvironment. 


These findings contribute to a foundation of information that can be used to develop new anti-HPV therapeutics, and more broadly, to study how certain cargos move in and out of cells (4).



Most of my work was independently designed and executed, so I focused a lot of attention on communicating my science to broader audiences. Very quickly, I learned that design tools (both conceptual and technical) could help me explain complex information, and more importantly, get others engaged in what I was doing.

By pairing visual elements that explain the experiment with images and graphs of data, I was able to build a story and more easily convey the qualitative meaning behind the quantitative information.


Giving data a backstory: Here, I wanted to know if HPV could disassemble in different cell types, a process required for infection. I treated cells with HPV, then used a green fluorescent probe that recognizes the inside of the virus (left). I took pictures using a microscope (middle) and then quantified the amount of green using image analysis software (right). Less green = Less infection.